All Stories

  1. Surrogate Model-Based Multi-Objective Optimization Using Desirability Functions
  2. Automated Prediction of Compressor Performance Maps: Surrogate-Based Optimization with RNNs for Enhanced Extrapolation and Interpolation
  3. Impact of energy efficiency on the morphology and behaviour of evolved robots
  4. Behavior-based neuroevolutionary training in reinforcement learning
  5. Resource planning for hospitals under special consideration of the COVID-19 pandemic
  6. Parallelized bayesian optimization for problems with expensive evaluation functions
  7. Variable reduction for surrogate-based optimization
  8. Structured-chromosome GA optimisation for satellite tracking
  9. Feature selection for surrogate model-based optimization
  10. Comparison of parallel surrogate-assisted optimization approaches
  11. Surrogate assisted optimization of particle reinforced metal matrix composites
  12. How to create meaningful and generalizable results
  13. Statistical analysis of optimization algorithms with R
  14. SPOT applied to non-stochastic optimization problems